Thoughtworks
Corporate/Government Newsroom
Founded in 1993, we’ve grown from a small team in Chicago to a leading technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise. Thoughtworks invented the concept of distributed agile and we know how to harness the power of global teams to deliver software excellence at scale.
For three decades, we've led the charge in technology innovation. Today, we are leaders in the AI-enabled software and data engineering space. We apply hands-on experience to help our clients better navigate change, harness the power of data and AI to unlock new sources of value, create adaptable technology platforms that align seamlessly with business objectives and rapidly design, deliver and evolve market-leading products and experiences at scale. Source
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| Scope | Trade/B2B |
|---|---|
| Language | English |
| Country | United States of America |
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Recent Articles
Search ArticlesHow to talk with AI?
We are currently suffering from a bizarre industry-wide obsession: prompt engineering. Every week, a new “prompt wizard” posts a cheat sheet claiming that if you frame your request with the right magic incantations “Act as a Senior Principal Architect with 20 years of experience...” the AI will suddenly emit flawless, production-ready software. This is not software engineering. This is spell-casting.
Understanding Thoughtworks Ready to Hire: What it means for your application
What is Thoughtworks Ready to Hire? Ready to Hire is our way of staying connected with candidates who have successfully passed our entire evaluation process. Going through a hiring process takes time, energy and dedication. Reaching this point means you’ve met every technical, cultural and leadership milestone for your role.
AI that works: How Thoughtworks combines AI/works™ with AWS Transform to modernize legacy systems for the AI era
Enterprise leaders no longer ask whether AI matters. They ask why it still can't move beyond pilots and into the systems that run the business. The answer is simple: AI can't reason across systems it can't understand. Most enterprises already have the data and workflows AI needs, but that intelligence sits trapped inside decades-old applications and disconnected data estates. Multi-year modernization programs were built for a world where waiting years for value was acceptable.
Strategic AI delivery: Lessons from platform modernization that every AI program needs
Most of the talk around AI focuses purely on the technology. Leaders discuss the models, copilots and agents that will transform their business and give them a competitive advantage. But as more organizations move beyond experimentation, simply having access to the latest AI won’t be enough. The technology itself will become less of a differentiator, and competitive advantage will come from the ability to operationalize AI quickly, safely and effectively.
Why generative AI won't create 10x developers
Long before GenAI agents were used in software engineering, we already had the concept of the '10x Developer'. They weren’t exactly ten times faster, but they did deliver value far more effectively and efficiently than average. But what did it take to create a high-performance team producing high-quality software at a high pace and with a high frequency of change? Enabled by culture and guided by principles, they followed practices that aimed for engineering excellence and superior product quality.
From specification to production: Building enterprise software with agentic AI
How agentic AI is reshaping software implementation A production-grade, cloud-native enterprise platform with multiple backend microservices, a web frontend, a full test suite and a complete cloud infrastructure deployment pipeline, was built entirely from natural language specifications. Tens of thousands of lines of code across hundreds of source files. Zero lines written by a human developer. This is not a claim about a prototype or a weekend toy project.
Stepping into autumn
In my role leading Thoughtworks across the UK and Ireland, my primary focus is advising executive teams on separating transient technology market hype from durable operational value. While it is easy to succumb to the narrative elegance of autonomous agent networks and frontier foundation models, true leadership lies in balancing strategic ambition with uncompromising architectural pragmatism.
The agentic frontier: Modernizing commodities trading through AI ecosystems
Continuing to rely on legacy Commodities Trading and Risk Management (CTRM) systems, which often function essentially as glorified digital ledger books is a major operational risk. When a trading desk spends 60% of its day manually pulling transaction details from messy WhatsApp threads, converting metric tonnes to barrels and cross-referencing PDFs, it is not trading, it is managing operational friction.
The agentic wealth advantage
For decades, wealth management has operated on a predictable cadence: a dedicated advisor, a quarterly review and the assumption that markets, opportunities and client needs move slowly enough to wait for the next scheduled meeting. In reality, they don’t.
Getting to know the stages of the interview process at Thoughtworks
The Joy of Interviewing was created to foster a safe, comfortable environment where you can authentically demonstrate your strengths. For us, every stage is a two-way conversation: an opportunity for us to get to know you, and for you to ask questions and gain a genuine understanding of what life is like on our team. Our process traditionally consists of five stages. Each stage has specific objectives and a focused set of attributes we assess based on the role and seniority level.